KERNEL PRINCIPAL COMPONENT ANALYSIS: RADIAL BASIS FUNCTION NEURAL NETWORKS–BASED SOFT-SENSOR MODELING OF POLYMERIZING PROCESS OPTIMIZED BY CULTURAL DIFFERENTIAL EVOLUTION ALGORITHM-Reference-Cited by-同舟云学术

KERNEL PRINCIPAL COMPONENT ANALYSIS: RADIAL BASIS FUNCTION NEURAL NETWORKS–BASED SOFT-SENSOR MODELING OF POLYMERIZING PROCESS OPTIMIZED BY CULTURAL DIFFERENTIAL EVOLUTION ALGORITHM

Published:2013-01 Issue:1 Volume:41 Page:18-36
ISSN:1073-9149
Container-title:Instrumentation Science & Technology
language:en
Short-container-title:Instrumentation Science & Technology

Author:

Wang Jiesheng,Guo Qiuping

Publisher

Informa UK Limited

Subject

General Environmental Science,Instrumentation,General Chemical Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/10739149.2012.710884

Reference15 articles.

1. Soft-Sensor Modeling of Polyvinyl Chloride Polymerizing Process

2. Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm

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